This article explains how the Adaptive On-Line Page Importance Computation (AOPIC) algorithm works. AOPIC is useful for performing efficient broad crawls of large slices of the internet. The key idea behind the algorithm is that pages are crawled based on a continuously improving estimate of page importance. This effectively allows the user of the algorithm to allocate the bulk of their limited bandwidth on the most important pages that their crawler encounters.
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WebExtensions are a frequently underappreciated tool for the purposes of web scraping and browser automation. They provide an easy way to access an extremely powerful API that’s cross browser compatible out of the box, and that API provides functionality that extends far beyond that of more specialized automation APIs like the Chrome DevTools Protocol or Firefox’s Marionnette. For example, the WebExtensions API provides a mechanism for containerizing individual tabs–Selenium and Puppeteer can’t do that!
If you’re in a hurry, you can head straight to the user-agents repository for installation and usage instructions! While web scraping, it’s usually a good idea to create traffic patterns consistent with those that a human user would produce. This of course means being respectful and rate-limiting requests, but it often also means concealing the fact that the requests have been automated. Doing so helps avoid getting blocked by overzealous DDOS protection services, and allows you to successfully scrape the data that you’re interested in while keeping site operators happy.
In this guest post, Lewis Van Winkle talks about F5Bot, a free service that emails you when selected keywords are mentioned on Reddit, Hacker News, or Lobsters. He explains in detail how F5Bot is able to process millions of comments and posts from Reddit every day on a single VPS. You can check out more of Lewis Van Winkle’s writing at codeplea.com, and his open source contributions at github.com/codeplea.
The Web Scrapers Slack Community Want to link up with other developers interested in web scraping? Join the Web Scrapers Slack Channel to chat about Selenium, Puppeteer, Scrapy, or anything else related to web scraping. Invite Me! The last few years have been a very exciting time for web scraping. In that period, both Chrome and Firefox have introduced memory efficient headless modes which allow them to run on Linux servers without requiring X11 and a virtual framebuffer like xvfb.
Let’s focus on the easy part first: what we’ll be building in this tutorial. The end result will be a browser bookmarklet which can be used to convert YouTube videos to MP3s and download them. The basic interaction flow is that you click on the bookmarklet while on the page for a specific video, a new tab opens and displays a progress bar for the conversion, and then the download starts automatically as soon as it’s ready.
Building a Media Transcoder with Exodus, FFmpeg, and AWS Lambda When delivering media content over the internet, it’s important to keep in mind that factors like network bandwidth, screen resolution, and codec support will vary drastically between different devices and connections. Certain media encodings will be better suited for certain viewers, and transcoding source media to multiple formats is a must in order to ensure that you’re delivering the best possible experience to your users.
I recently started using Ant Design as my go-to React component library over ported frameworks like React-Bootstrap or React Material UI. There’s a lot to love about Ant Design: it follows a collection of well thought out design principles, has a comprehensive component library, and can easily be customized through a simple theming system. It also uses Less as its styling language, which is unfortunate if you want to transition an existing Sass-based project to Ant Design, or if you simply prefer using Sass to style your components.